Senior Consultant, Analytics

Forvis Mazars US

United States

United States

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Über

The Analytics team transforms data into actionable insights that fuel business growth. Using advanced tools in predictive analytics, machine learning, and AI, they help organizations unlock new opportunities, reduce risk, and improve efficiency. Their proprietary cloud?based platform delivers timely, digestible insights that enhance strategy and performance. With a strong focus on data strategy, governance, and security, they ensure data quality and complianceempowering clients to make confident, data?driven decisions. What You Will Do Engage with clients professionally and consistently to understand their needs, deliver effective solutions, and build trust. Support client engagements throughout all phases of the project lifecycleincluding the implementation and support of the tools and products we build. Support tax, audit, and other teams with insights gained from analyzing data, automating tasks, and problem?solving. Utilize analytical, statistical, and programming skills to collect, analyze, and interpret data sets and develop data?driven solutions to difficult business challenges. Create client deliverables and technical documentation that clearly detail analytic procedures, outputs and insights, and key reference information. Perform core data analytic tasks, including designing and implementing procedures to collect, transform, cleanse, normalize, and analyze data. Automate reports, dashboards, and other performance tools. Provide ad?hoc analysis and present results in a clear manner. Maintain and achieve high quality in work, client relations, and team relations. Actively build on client relationship efforts to market and cross?sell the various services provided by the firm. Acquire the skills necessary to develop quality client relationships and loyalty. Support training and mentoring of staff and interns as necessary. Perform other duties as assigned by the firms leadership.
Minimum Qualifications
Bachelors degree in a quantitative field (or equivalent work experience), such as Statistics, Mathematics, Engineering, Computer Science, or a similar quantitative field. Data affinity with attention to detail. Solution? and problem?solving orientation with an emphasis on product development, finding efficiencies, and streamlining processes. Strong presentation skills and technical writing skills. Able to quickly interpret data and transition it into tangible business recommendations, solutions, or analysis. Experience using statistical computer languages (R, Python, SQL) to query databases, manipulate data, and draw insights from large datasets. Occasional travel required (~20%).
Preferred Qualifications
Masters degree in Data Science, Data Analytics, or a related field. Advanced expertise with Python, Alteryx, and/or Tableau. Experience using a broad range of quantitative analytical techniquesincluding descriptive statistics, predictive and prescriptive analytics (e.g., linear and logistic regression, time?series forecasting, clustering, classification, optimization, and model training and development)with a strong aptitude for selecting the appropriate tool for each task.
Seniority level
Not Applicable Employment type
Full?time Job function
Research, Analyst, and Information Technology Industries
Professional Services #J-18808-Ljbffr

United States

Sprachkenntnisse

English

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